Classification of Interactive Functions of the Electronic Atlas: Logical Scheme and Outcomes

Abstract

This paper is the completion of the project started in [1], which is devoted to the development of the classification of interactive functions of the electronic atlas. In the previous work, we developed the theoretical and methodological basis for creating the classification. This paper describes the logical scheme of the classification and the classification groups within the created classification. To detect interactive functions, thirty-four atlases and ten geoportals released between 2006 and 2021 were analyzed. A detailed list of applications can be found at the link: https://bit.ly/3wL35uu. Interactive functions mentioned in the literature on the topic were also taken into account. The proposed classification (https://bit.ly/3Ck3jvK) is artificial and taxonomic with a combined structure: faceted radial at the first level and sequential within each facet (group). The main (type, class, genus, kind) and transitional (subtype, subgenus) taxonomic categories were allocated, the purpose of which is to emphasize the subordination of the classification groups of objects and to reveal the vertical connections between them. One hundred and eighty-one interactive functions are allocated among seven groups, where each group corresponds to one feature by a purpose: Settings and Support, Visual Design Adaptation, Navigation, Analysis, Extensibility, Recoverability, Saving, and Tracking. The sequence of groups corresponds to the hypothetical stages of the user’s work with the electronic atlas and is intended to facilitate the perception of the classification. The classification is open to extension as well as modification for specific thematic atlases. Future additions will include functions with a 3D dimension and an audiovisual component.

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“…To solve the problems of resource-consuming, slow and inefficient development of a web application for the purpose of analysis and research of space image data, it is worth turning to the specialized web platform GEE. When developing interactive maps, it is necessary to take into account the property of interactivity and use a large number of interactive functions, the research of which is devoted to a recent work (Krakovskii, Kurach, 2022). This article aims to study the main features of creating an interactive mapping web application for the analysis of space images using the Google Earth Engine web mapping platform, which helps to reduce the time and resources required for the development of this type of web application.…”